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Structurally coupled inversion of ERT and refraction seismic data combined with cluster-based model integration

Hellman, Kristofer LU ; Ronczka, Mathias LU ; Günther, Thomas; Wennermark, Marcus; Rücker, Carsten and Dahlin, Torleif LU (2017) In Journal of Applied Geophysics 143. p.169-181
Abstract

Electrical resistivity tomography (ERT) and refraction seismics are among the most frequently used geophysical methods for site-investigations and the combined results can be very helpful to fill in the gaps between the point measurements made by traditional geotechnical methods such as Cone Penetration Test (CPT), core-drilling and geophysical borehole logging. The interpretation of the results from a geophysical investigation constituting a single method often yields ambiguous results. Hence, an approach utilizing multiple techniques is often necessary. To facilitate interpretation of such a combined dataset, we propose a more controlled and objective approach and present a method for a structurally coupled inversion of 2D electrical... (More)

Electrical resistivity tomography (ERT) and refraction seismics are among the most frequently used geophysical methods for site-investigations and the combined results can be very helpful to fill in the gaps between the point measurements made by traditional geotechnical methods such as Cone Penetration Test (CPT), core-drilling and geophysical borehole logging. The interpretation of the results from a geophysical investigation constituting a single method often yields ambiguous results. Hence, an approach utilizing multiple techniques is often necessary. To facilitate interpretation of such a combined dataset, we propose a more controlled and objective approach and present a method for a structurally coupled inversion of 2D electrical resistivity and refraction seismic data using unstructured meshes. Mean shift clustering is used to combine the two images and to compare the separate and coupled inversion methodologies. Two synthetic examples are used to demonstrate the method, and a field-data example is included as a proof of concept. In all cases a significant improvement by the coupling is visible. The methodology can be used as a tool for improved data interpretation and for obtaining a more comprehensive and complete picture of the subsurface by combining geophysical methods.

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author
organization
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type
Contribution to journal
publication status
published
subject
keywords
Cluster analysis, ERT, Joint inversion, Refraction seismics, Structurally coupled inversion
in
Journal of Applied Geophysics
volume
143
pages
13 pages
publisher
Elsevier
external identifiers
  • scopus:85021040325
  • wos:000407524800016
ISSN
0926-9851
DOI
10.1016/j.jappgeo.2017.06.008
language
English
LU publication?
yes
id
f4eadb77-2331-42e1-a00b-a9a6879f3697
date added to LUP
2017-07-11 10:53:05
date last changed
2018-05-07 10:25:43
@article{f4eadb77-2331-42e1-a00b-a9a6879f3697,
  abstract     = {<p>Electrical resistivity tomography (ERT) and refraction seismics are among the most frequently used geophysical methods for site-investigations and the combined results can be very helpful to fill in the gaps between the point measurements made by traditional geotechnical methods such as Cone Penetration Test (CPT), core-drilling and geophysical borehole logging. The interpretation of the results from a geophysical investigation constituting a single method often yields ambiguous results. Hence, an approach utilizing multiple techniques is often necessary. To facilitate interpretation of such a combined dataset, we propose a more controlled and objective approach and present a method for a structurally coupled inversion of 2D electrical resistivity and refraction seismic data using unstructured meshes. Mean shift clustering is used to combine the two images and to compare the separate and coupled inversion methodologies. Two synthetic examples are used to demonstrate the method, and a field-data example is included as a proof of concept. In all cases a significant improvement by the coupling is visible. The methodology can be used as a tool for improved data interpretation and for obtaining a more comprehensive and complete picture of the subsurface by combining geophysical methods.</p>},
  author       = {Hellman, Kristofer and Ronczka, Mathias and Günther, Thomas and Wennermark, Marcus and Rücker, Carsten and Dahlin, Torleif},
  issn         = {0926-9851},
  keyword      = {Cluster analysis,ERT,Joint inversion,Refraction seismics,Structurally coupled inversion},
  language     = {eng},
  month        = {08},
  pages        = {169--181},
  publisher    = {Elsevier},
  series       = {Journal of Applied Geophysics},
  title        = {Structurally coupled inversion of ERT and refraction seismic data combined with cluster-based model integration},
  url          = {http://dx.doi.org/10.1016/j.jappgeo.2017.06.008},
  volume       = {143},
  year         = {2017},
}